Triple

T31965411
Position Surface form Disambiguated ID Type / Status
Subject Time Patrol E816160 entity
Predicate organizationGoal P183523 FINISHED
Object maintain the stability of the timeline LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: maintain the stability of the timeline | Statement: [Time Patrol, organizationGoal, maintain the stability of the timeline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationGoal
Context triple: [Time Patrol, organizationGoal, maintain the stability of the timeline]
  • A. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • B. goalStructure
    Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
  • C. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • D. goalIn
    Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
  • E. societalGoal
    Indicates that something is an objective or desired outcome pursued by a society or social group as a whole.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f348f5ae5481909da0247869f51955 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7a01efcc08190bba489a9099b8684 completed May 3, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
PDg Predicate description generation batch_69f79f477c4c8190a35cb6d87b1dcbd1 completed May 3, 2026, 7:17 p.m.
Created at: May 1, 2026, 12:09 a.m.